Handbook of Image Engineering

by Yu-Jin Zhang

Overview

Image techniques have been developed and implemented for various purposes, and image engineering (IE) is a rapidly evolving, integrated discipline  comprising the study of all the different branches of image techniques, and  encompassing mathematics, physics, biology, physiology, psychology, electrical engineering, computer science and automation. Advances in the field are also closely related to the development of telecommunications, biomedical engineering, remote sensing, surveying and mapping, as well as document processing and industrial applications.

IE involves three related and partially overlapping groups of image techniques: image processing (IP) (in its narrow sense), image analysis (IA) and image understanding (IU), and the integration of these three groups makes the discipline of image engineering an important part of the modern information era.

This is the first handbook on image engineering, and provides a well-structured, comprehensiveoverview of this new discipline. It also offers detailed information on the various image techniques. It is a valuable reference resource for R&D professional and undergraduate students involved in image-related activities.

Product Details

ISBN-13:	9789811558733
Publisher:	Springer-Verlag New York, LLC
Publication date:	01/04/2021
Sold by:	Barnes & Noble
Format:	eBook
File size:	101 MB
Note:	This product may take a few minutes to download.

About the Author

Yu-Jin ZHANG received his Ph.D. in Applied Science from the State University of Liège, Belgium, in 1989. From 1989 to 1993, he was a post-doctoral fellow and research fellow at the Delft University of Technology, in the Netherlands. In 1993, he joined Tsinghua University, Beijing, China, where he has been a Professor since 1997.

He has published over 500 research papers and book chapters, as well as more than 40 books, including three monographs: "Image Segmentation," "Content-based Visual Information Retrieval," and "Subspace-based Face Recognition," one dictionary: "An English-Chinese Dictionary of Image Engineering" (1st edition and 2nd edition), and three edited books: "Advances in Image and Video Segmentation" and "Semantic-Based Visual Information Retrieval" (IRM Press, USA), and "Advances in Face Image Analysis: Techniques and Technologies " (IGI Global, USA).

He was/is the Vice President of the China Society of Image and Graphics (2002 ~ 2011, 2016 ~), the associate editor of "Pattern Recognition Letters," the "International Journal of Image and Graphics," "Optical Engineering," "Journal of Electronics and Information," "Journal of CAD and Computer Graphics," "Signal Processing," and "Acta Automatica Sinica". He was the program chair of "The Twenty-Fourth International Conference on Image Processing (ICIP'2017), as well as a number of international conferences. He has been a senior member of IEEE (since 1999), and a fellow of SPIE (since 2011).

Table of Contents

Part 1 Image Fundamentals.- 1 Image Basics.- 2 Image Engineering.- 3 Image Acquisition Devices.- 4 Image Acquisition Modes.- 5 Image Digitization .- 6 Image Display and Printing.- 7 Image Storage and Communication.- 8 Related Knowledge .- Part 2 Image Processing.- 9 Pixel Spatial Relationship.- 10 Image Transforms.- 11 Point Operations for Spatial Domain Enhancement.- 12 Mask Operations for Spatial Domain Enhancement.- 13 Frequency Domain Filtering.- 14 Image Restoration.- 15 Image Repair and Recovery.- 16 Image Reconstruction from Projection.- 17 Image Coding.- 18 Image Watermarking.- 19 Image Information Security .- 20 Color Image Processing.- 21 Video Image Processing.- 22  Multi-Resolution Image.- Part 3  Image Analysis.- 23 Segmentation Introduction.- 24 Edge Detection.- 25 Object Segmentation Methods.- 26 Segmentation Evaluation.- 27 Object Representation.- 28 Object Description.- 29 Feature Measurement and Error Analysis.- 30 Texture Analysis.-31 Shape Analysis.- 32 Motion Analysis.- 33 Image Pattern Recognition.- 34 Biometric Recognition.- Part 4 Image Understanding.- 35 Theory of Image Understanding.- 36 3-D Representation and Description.- 37 Stereo Vision.- 38 Multi-image 3-D Scene Reconstruction.- 39 Single-image 3D Scene Reconstruction.- 40 Knowledge and Learning.- 41 General Image Matching.- 42 Scene Analysis and Interpretation.- 43 Image Information Fusion.- 44 Content-Based Retrieval.- 45 Spatial-Temporal Behavior Understanding.- Part 5 Related References.- 46 Related Theories and Techniques.- 47 Optics.- 48 Mathematical Morphology for Binary Images.- 49 Mathematical Morphology for Gray-Level Images.- 50 Visual Sensation and Perception.- 51 Application of Image Technology.- 52 International Organizations and Standards.